dc.contributor.author |
Shyam S,Pattnaik |
|
dc.contributor.author |
Dhruba C,Panda |
|
dc.contributor.author |
Devi,S |
|
dc.date.accessioned |
2009-03-16T10:39:00Z |
|
dc.date.available |
2009-03-16T10:39:00Z |
|
dc.date.issued |
2002-09-20 |
|
dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/1392 |
|
dc.description.abstract |
The mathematical formulation of empirically developed formulas Jirr the calculation of the resonant frequency of a thick-substrate
(h s 0.08151 A,,) microstrip antenna has been analyzed. With the
use qt' tunnel-based artificial neural networks (ANNs), the resonant frequency
of antennas with h satisfying the thick-substrate condition are
calculated and compared with the existing experimental results and also
with the simulation results obtained with the use of an IE3D software
package. The artificial neural network results are in very good agreement
with the experimental results |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Microwave and Optical Technology Letters |
en_US |
dc.subject |
Microstrip antenna |
en_US |
dc.subject |
Electrically thick substarte |
en_US |
dc.subject |
Artificial neural networks |
en_US |
dc.subject |
Resonant frequency |
en_US |
dc.title |
Tunnel-Based Artificial Neural Network Technique to Calculate the Resonant Frequency of a Thick-Substrate Microstrip Antenna |
en_US |
dc.type |
Working Paper |
en_US |